# How to Compare NaN Values in Python?

To compare NaN (Not a Number) values in Python, you can use the `math.isnan()` function or the `numpy.isnan()` function, depending on your requirements. Here’s an example:

Using `math.isnan()`:

``````import math

# Define NaN values
nan_value_1 = float('nan')
nan_value_2 = float('nan')

# Compare NaN values
is_equal = math.isnan(nan_value_1) and math.isnan(nan_value_2)

# Print the result
print(f"Are NaN values equal? {is_equal}")``````

Using `numpy.isnan()`:

``````import numpy as np

# Define NaN values
nan_value_1 = np.nan
nan_value_2 = np.nan

# Compare NaN values
is_equal = np.isnan(nan_value_1) and np.isnan(nan_value_2)

# Print the result
print(f"Are NaN values equal? {is_equal}")``````

In both examples:

1. Two NaN values are defined, `nan_value_1` and `nan_value_2`.
2. The `math.isnan()` function or `numpy.isnan()` function is used to check if each value is NaN.
3. The result of the comparison is stored in the `is_equal` variable.
4. Finally, the result is printed to the console.

Both `math.isnan()` and `numpy.isnan()` functions return `True` if the value passed to them is NaN and `False` otherwise. If you have only one NaN value to compare, you can use the respective function directly without the need for the `and` operator.

It’s important to note that NaN values are considered unequal to any other value, including other NaN values. So, when comparing NaN values, you should use the `math.isnan()` or `numpy.isnan()` function specifically designed for handling NaN values.